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Publication details

Document type
Academic documents

Document subtype
Master's dissertation

Title
Automatic detection and segmentation of malignant lesions from [18F]FDG PET/CT images using machine learning techniques: application in lymphomas

Participants in the publication
Sobral, Miriam Norinha Gomes (Author)
Oliveira, Francisco (Adviser)
Matela, Nuno Miguel de Pinto Lobo e (Adviser)
Dep. Física
 IBEB
Date of Submisson/Request
2023
Date of Publication
2023

Institution
FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA

Publication Identifiers

Document Identifiers
URL - https://repositorio.ul.pt/handle/10451/62583
TID - 203524608


Export

APA
Sobral, Miriam Norinha Gomes, (2023). Automatic detection and segmentation of malignant lesions from [18F]FDG PET/CT images using machine learning techniques: application in lymphomas. https://repositorio.ul.pt/handle/10451/62583 Oliveira, Francisco, Matela, Nuno Miguel de Pinto Lobo e,

IEEE
Sobral, Miriam Norinha Gomes, "Automatic detection and segmentation of malignant lesions from [18F]FDG PET/CT images using machine learning techniques: application in lymphomas", 2023.

BIBTEX
@MastersThesis{60240, author = {Sobral, Miriam Norinha Gomes}, title = {Automatic detection and segmentation of malignant lesions from [18F]FDG PET/CT images using machine learning techniques: application in lymphomas}, school = {FACULDADE DE CIÊNCIAS DA UNIVERSIDADE DE LISBOA}, year = {2023}, OPTtype = {Documentos Académicos} }